Microsoft AI-103 시험

Question No : 1

HOTSPOT -
You have a Microsoft Foundry project that contains an agent.
The agent uses tools to retrieve internal content and call external APIs. The agent is configured to let the model decide when to call the tools.
You need to publish the agent for a compliance workflow.
The solution must meet the following requirements:
Each workflow run must include a retrieval step before generating a response.
Tool calls must authenticate by using the published agent’s own identity.
Tool access must use an identity isolated from other project resources.
Tool access must use support audit tracing.
What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Question No : 2

You have a Microsoft Foundry project that contains a high-traffic agent.
After a recent update, operational costs increase significantly.
Monitoring confirms that the volume of user traffic to the agent remains unchanged.
You suspect that changes to the request or response characteristics are causing the increase. You need to identify whether the additional costs are driven by the model input size, the model output size, or expanded tool usage.
Which observability capability should you use?

• A.latency
• B.evaluation metrics
• C.run success rate
• D.token usage

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Question No : 3

HOTSPOT -
You have a Microsoft Foundry project that contains an internal Q&A agent.
Users report the following issues when they ask the agent questions:
An increase in the following response: “No relevant information found”
Periodic HTTP 429 rate limit exceeded errors during peak hours
You need to identify whether each issue is caused by model unavailability, resource limits, or inference failures.
What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Question No : 4

You have a Microsoft Foundry project that serves a high-volume chat app.
Most requests are simple FAQs, but some require advanced reasoning.
You need to reduce costs and latency for common queries, without degrading the quality of the responses to complex questions.
What should you do?

• A.Route all the requests to a smaller model.
• B.Use a model cascade that routes the requests to different models.
• C.Increase the value of the max_tokens parameter for all the requests.
• D.Route all the requests to the most capable model.

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Question No : 5

You have a Microsoft Foundry project named Project1 that contains an agent. The agent uses an OpenAPI 3.0 specification to call an external weather service.
The weather service requires a key to be passed in an HTTP header. The key value is stored as a connection in Project1.
You need to ensure that the key value from the connection is included automatically whenever the OpenAPI tool is invoked.
What should you configure in the OpenAPI specification?

• A.a header parameter defined for each operation
• B.an Azure Key Vault connection
• C.an API key security scheme
• D.a Bearer token security scheme

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Question No : 6

DRAG DROP -
You have a Microsoft Foundry project that contains a customer support agent grounded in internal documentation.
After a recent update, users report the following issues:
Some answers are unsupported by retrieved documents.
A small number of responses are flagged for policy violations.
You need to evaluate each issue.
Which observability signals should you use for each issue? To answer, drag the appropriate observability signals to the correct issues. Each observability signal may be used once, more than once, or not at all. You may need to drag the spit bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.

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Question No : 7

You have a Microsoft Foundry project that contains an agent. The agent has a Model Context Protocol (MCP) tool that queries a knowledge base stored in Azure AI Search.
Some agent runs return answers from the base model without invoking the knowledge base, which results in responses without grounded citations.
You are provided with the following code snippet that runs the agent.



You need to add the correct tool _choice parameter to the code to deterministically force the agent to invoke the MCP tool on each run.
What should you add?

• A.tool_choice={“required”}
• B.tool_choice={“auto”}
• C.tool_choice={“type”:“knowledge_base”}
• D.tool_choice ={“type”:“mcp”}

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Question No : 8

You have a Microsoft Foundry project that contains a model deployment.
You have an application that calls the deployment by using the Azure OpenAI v1 API and DefaultAzureCredential.
The developers at your company receive HTTP 403 errors when they send inference requests, even after running az login.
You need to ensure that the developers can perform model inference. The solution must follow the principle of least privilege.
Which role-based access control (RBAC) role should you assign to the developers?

• A.Cognitive Services User
• B.Cognitive Services OpenAI User
• C.Contributor
• D.Cognitive Services Data Reader

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Question No : 9

You have an Azure Speech in Foundry Tools resource that hosts a custom speech to text model deployed to a custom endpoint.
An agent uses the endpoint to perform real-time speech recognition.
You are approaching the expiration date of the custom speech to text model.
What is the expected behavior when the model expires?

• A.Speech recognition requests will return a 4xx error until a new custom model is deployed.
• B.Speech recognition requests will continue to use the expired custom model until the model is removed manually.
• C.Speech recognition requests will fall back to the most recent base model for the same locale.
• D.The custom model will be deleted automatically when the model expires.

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Question No : 10

HOTSPOT -
You have a Microsoft Foundry project that contains an agent named PaymentAgent.
PaymentAgent includes a function tool that issues customer refunds by using an external API.
You are creating a workflow in YAML.
You need to ensure that the workflow pauses for human approval and continues with the refund step only after approval is granted.
How should you complete the workflow definition? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Question No : 11

You have a Microsoft Foundry project that contains an agent. The agent uses Azure Speech in Foundry Tools.
You fine-tune a baseline speech to text model for the en-us locale and publish the model.
The agent calls the Speech to text REST API and returns an error message indicating that the project ID is invalid.
You need to set the project property to the correct ID.
To what should you set the project property?

• A.the project URL
• B.the custom speech project ID
• C.the project ID
• D.the custom speech endpoint URL

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Question No : 12

You have a Microsoft Foundry project that contains three agents as shown in the following table.



You need to orchestrate the agents to ensure that the customer requests meet the following requirements:
Support a deterministic, step-based process that uses conditional branching and shared state across the agents.
Optionally trigger a ticket action based on the triage result.
The solution must minimize development effort.
What should you include in the solution?

• A.a workflow
• B.threads and runs without a workflow
• C.a multi-agent group chat session
• D.separate agent runs coordinated in the application code

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Question No : 13

HOTSPOT
You have a Microsoft Foundry project that contains a customer support agent built by using the Foundry Agent Service.
The agent uploads user-provided screenshots to Azure Storage through a ticketing tool and receives a blob URL for additional reasoning.
You need to use image moderation during agent runs and prevent harmful content from being returned during runs. Azure AI Content Safety must access the images by using the blob URL. The solution must follow the principle of least privilege.
What should you configure for Content Safety? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Question No : 14

HOTSPOT
You have a Microsoft Foundry project that contains a workflow for a customer support triage process.
You have an Ask a question node that stores user responses in a local variable named Var01.
You need to create the following Power Fx expressions:
An if/else condition expression that ensures that Var01 contains a value
A Send message expression that returns the stored user response in uppercase
How should you configure the expressions? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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Question No : 15

HOTSPOT
You have a Python application named App1 that integrates with a Microsoft Foundry project named Project1.
You need to ensure that App1 meets the following requirements:
Authenticates by using a Microsoft Entra managed identity
Sends prompts to a deployed model by using the Azure OpenAI Responses API
How should you complete the Python code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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